Developer Relations Manager, cuOpt and Graph Optimization

NVIDIA
Shanghai, Beijing, Shenzhen
Full timeFunction: Software EngineeringExperience: 6+ yearsSkills: ["Communication","Teamwork","Organization","Analytical problem-solving","Project management","Self-driven","Continuous learning"]

Work with China researcher and developer communities to integrate NVIDIA GPU-accelerated computing solutions, with a focus on cuOpt and graph optimization for LP/MILP/VRP workloads. Bridge community technical needs with NVIDIA tools, libraries, and SDKs, co-architect repeatable solutions, and support early adoption and launch activities. Perform database and data processing technical advocacy, identify ISV adoption blockers, and coordinate with internal teams across business development, solution architecture, and product.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Developer Relations Manager, cuOpt and Graph Optimization

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Work with China researcher and developer communities to integrate NVIDIA GPU-accelerated computing solutions, with a focus on cuOpt and graph optimization for LP/MILP/VRP workloads. Bridge community technical needs with NVIDIA tools, libraries, and SDKs, co-architect repeatable solutions, and support early adoption and launch activities. Perform database and data processing technical advocacy, identify ISV adoption blockers, and coordinate with internal teams across business development, solution architecture, and product.
Location: Shanghai, Beijing, Shenzhen
Employment Type: Full time
Job Function: Software Engineering
Seniority: Director level

Key Responsibilities

  • •Understand China researcher and developer communities and analyze technical requirements to identify key projects.
  • •Promote NVIDIA tools, libraries, and SDKs with communities, ISVs, and service providers; bridge their needs with NVIDIA offerings.
  • •Develop deep database and data processing expertise, including cuOpt and graph optimization for optimization workloads and ecosystems.
  • •Discover new workflows, identify blockers to ISV adoption, and report findings to product teams.
  • •Drive early adoption of new products and support launch and go-to-market activities in collaboration with internal teams.

Key Requirements

  • •BS/MS/PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
  • •6+ years working with cuOpt, graph optimization, LP, MILP, VRP, and GPU-accelerated optimization algorithms.
  • •Deep understanding of accelerated computing and AI for science, including Agentic AI, physical AI, and the LLM ecosystem (startups, ISVs, data stores, CSP, SaaS).
  • •Strong analytical/problem-solving skills and deep empathy for developers.
  • •Excellent written and oral communication for executive and technical audiences; ability to plan and drive multiple projects with internal/external stakeholders.
Experience:6+ yearsAI for ScienceGPU-accelerated computingOptimization algorithmsLLM ecosystemISV adoption
Education:
Skills:CommunicationTeamworkOrganizationAnalytical problem-solvingProject managementSelf-drivenContinuous learning
Tech Stack:CuOptGraph optimizationLPMILPVRPGPU-accelerated optimizationCUDALLMsVLMsAgentic AIPhysical AILLM training/inferenceAPIsMicroservicesOrchestration platformsDatabase systemsData processingAI4SRoboticsSaaS

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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